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Deep neural network architectures for modulation classification

2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017, p.915-919

2017

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RML22: Realistic Dataset Generation for Wireless Modulation Classification

IEEE transactions on wireless communications, 2023-11, Vol.22 (11), p.1-1

2023

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A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning

IEEE transactions on information theory, 2019-04, Vol.65 (4), p.2322-2342

2019

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A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems

IEEE transactions on information theory, 2023-05, Vol.69 (5), p.3372-3399

2023

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A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

Smart agricultural technology, 2023-02, Vol.3, p.100083, Article 100083

2023

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Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions

IEEE access, 2023, Vol.11, p.9042-9057

2023

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Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

IEEE communications letters, 2021-05, Vol.25 (5), p.1559-1563

2021

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Generative adversarial networks in EEG analysis: an overview

Journal of neuroengineering and rehabilitation, 2023-04, Vol.20 (1), p.40-40, Article 40

2023

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Toward calibration-free motor imagery brain–computer interfaces: a VGG-based convolutional neural network and WGAN approach

Journal of neural engineering, 2024-07, Vol.21 (4), p.46032

2024

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Efficient Training of Deep Classifiers for Wireless Source Identification Using Test SNR Estimates

IEEE wireless communications letters, 2020-08, Vol.9 (8), p.1314-1318

2020

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Efficient Multi-View Learning Based on the Information Bottleneck Paradigm

2022 56th Asilomar Conference on Signals, Systems, and Computers, 2022, p.1393-1397

2022

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Interference Channels With Coordinated Multipoint Transmission: Degrees of Freedom, Message Assignment, and Fractional Reuse

IEEE transactions on information theory, 2014-06, Vol.60 (6), p.3483-3498

2014

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IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer

IEEE transactions on cognitive communications and networking, 2021-03, Vol.7 (1), p.1-4

2021

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Ensemble Wrapper Subsampling for Deep Modulation Classification

IEEE transactions on cognitive communications and networking, 2021-12, Vol.7 (4), p.1156-1170

2021

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Joint Uplink-Downlink Cooperative Interference Management With Flexible Cell Associations

IEEE transactions on communications, 2020-09, Vol.68 (9), p.5420-5434

2020

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Optimizing resource utilization for large scale problems through architecture aware scheduling

Scientific reports, 2024-11, Vol.14 (1), p.26356-18, Article 26356

2024

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MindEdit: A P300-based Text Editor for Mobile Devices

Computers in biology and medicine, 2017-01, Vol.80, p.97-106

2017

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Deep OFDM Channel Estimation: Capturing Frequency Recurrence

IEEE communications letters, 2024-03, Vol.28 (3), p.562-566

2024

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Degrees of Freedom in Wireless Interference Networks With Cooperative Transmission and Backhaul Load Constraints

IEEE transactions on information theory, 2019-09, Vol.65 (9), p.5816-5832

2019

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Fundamental Limits of Dynamic Interference Management With Flexible Message Assignments and Separate Deep Fading Block Coding

IEEE transactions on information theory, 2020-02, Vol.66 (2), p.1193-1212

2020

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Comparison of Deep Learning Models for Corn Disease Region Location, Identification of Disease Type, and Severity Estimation Using Images Acquired From UAS-Mounted and Handheld Sensors

Journal of the ASABE, 2022, Vol.65 (6), p.1433-1442

2022

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Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, p.354-359

2023

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GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery

Remote sensing (Basel, Switzerland), 2022-09, Vol.14 (17), p.4140

2022

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Data Centric Approach to Modulation Classification

2023 15th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2023, p.340-344

2023

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The Bethesda System for Reporting Thyroid Cytopathology: A Retrospective Review of its Diagnostic Utility at Johns Hopkins Aramco Healthcare, Saudi Arabia

American journal of otolaryngology, 2021-11, Vol.42 (6), p.103088-103088, Article 103088

2021

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Deep neural network architectures for modulation classification

RML22: Realistic Dataset Generation for Wireless Modulation Classification

A Sampling Theory Perspective of Graph-Based Semi-Supervised Learning

A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems

A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools

Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions

Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

Generative adversarial networks in EEG analysis: an overview

Toward calibration-free motor imagery brain–computer interfaces: a VGG-based convolutional neural network and WGAN approach

Efficient Training of Deep Classifiers for Wireless Source Identification Using Test SNR Estimates

Efficient Multi-View Learning Based on the Information Bottleneck Paradigm

Interference Channels With Coordinated Multipoint Transmission: Degrees of Freedom, Message Assignment, and Fractional Reuse

IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer

Ensemble Wrapper Subsampling for Deep Modulation Classification

Joint Uplink-Downlink Cooperative Interference Management With Flexible Cell Associations

Optimizing resource utilization for large scale problems through architecture aware scheduling

MindEdit: A P300-based Text Editor for Mobile Devices

Deep OFDM Channel Estimation: Capturing Frequency Recurrence

Degrees of Freedom in Wireless Interference Networks With Cooperative Transmission and Backhaul Load Constraints

Fundamental Limits of Dynamic Interference Management With Flexible Message Assignments and Separate Deep Fading Block Coding

Comparison of Deep Learning Models for Corn Disease Region Location, Identification of Disease Type, and Severity Estimation Using Images Acquired From UAS-Mounted and Handheld Sensors

Motor Imagery Classification Enhancement using Generative Adversarial Networks for EEG Spectrum Image Generation

GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery

Data Centric Approach to Modulation Classification

The Bethesda System for Reporting Thyroid Cytopathology: A Retrospective Review of its Diagnostic Utility at Johns Hopkins Aramco Healthcare, Saudi Arabia

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